The target of the paper is to illustrate the impact of hotspot traffic distributions on the WCDMA network performance when repeaters are used for providing service to the hotspot users. The paper concentrates on providing a detailed systemand cell-level analysis of the impact of repeaters by using static Monte Carlo simulations. Moreover, the effects of different repeater configurations are pre...

Abstract. Hotspot is the part of a program where most execution time is spent. Detecting the hotspot enables the optimization of the program. The performance event counters embedded in modern processors provide the hardware support for the hotspot detection. By sampling the instruction addresses of the running program with performance event counters, hotspot of the program can be statistically ...

Background. Sentinel node biopsy (SNB) represents the standard of care in breast cancer axillary evaluation. Our study aims to characterize the patterns of malignant cell distribution within the sentinel nodes (SN). Methods. In a retrospective IRB-approved study, we examined the anatomic location of the nodal area with the highest radioactive signal or most intense blue staining (hot spot) and ...

Cancer cells afflicted with mutations in the breast cancer susceptibility protein (BRCA1) often suffer from increased DNA damage and genomic instability. The precise manner in which physical changes to BRCA1 influence its role in DNA maintenance remains unclear. We used single-particle electron microscopy to study the three-dimensional properties of BRCA1 naturally produced in breast cancer cel...

The identification of crash hotspots is the first step of the highway safety management process. Errors in hotspot identification may result in the inefficient use of resources for safety improvements and may reduce the global effectiveness of the safety management process. Despite the importance of using effective hotspot identification (HSID) methods, only a few researchers have compared the ...

We have obtained via DNA sequence analysis a spectrum of 174 spontaneous mutations occurring in the lac I gene of Escherichia coli. The spectrum comprised base substitution, frameshift, deletion, duplication and insertion mutations, of which the relative contributions to spontaneous mutation could be estimated. Two thirds of all lacI mutations occurred in the frameshift hotspot site. An analysi...

a r t i c l e i n f o Keywords: Text mining Sentiment analysis Cluster analysis Online sports forums Dynamic interacting network analysis Hotspot detection Machine learning Support vector machine Text sentiment analysis, also referred to as emotional polarity computation, has become a flourishing frontier in the text mining community. This paper studies online forums hotspot detection and forec...

Given a set of crime locations, a statistically significant crime hotspot is an area where the concentration of crimes inside is significantly higher than outside. The motivation of crime hotspot detection is twofold: detecting crime hotspots to focus the deployment of police enforcement and predicting the potential residence of a serial criminal. Crime hotspot detection is computationally chal...

Hotspot analysis is the identification and ranking of countries or other geographic regions on the basis of biodiversity. Hotspots have exceptional biodiversity per unit land area. This paper introduces a new method of hotspot analysis that ranks hotspots on the basis of biodiversity and anthropogenic threats to biodiversity. These threats are represented by socioeconomic factors such as human ...

Traditional Internet public opinion hotspot tracking method is based on Text clustering, its text clustering speed and search result is not so good when handling massive webpage. The monitoring scale of Internet public opinion system is limited in the listed key words by the users, so that system cannot monitor the unknown emergency. According to the occurring and spreading features, to improve...